649 citations · 1.2k across the 22 of their papers we have counts for
13 papers · 1 filter
Respectful Things: Adding Social Intelligence to 'Smart' Devices
Max Van Kleek, William Seymour, Reuben Binns +1
In this paper, we propose that the idea of devices respecting their end-users may serve as a strong design goal for highly personal and intimate smart devices. We ask what respect…
Access Denied: Meaningful Data Access for Quantitative Algorithm Audits
Juliette Zaccour, Reuben Binns, Luc Rocher
Independent algorithm audits hold the promise of bringing accountability to automated decision-making. However, third-party audits are often hindered by access restrictions, forcin…
Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond
Lin Kyi, Amruta Mahuli, M. Six Silberman +3
Since the emergence of generative AI, creative workers have spoken up about the career-based harms they have experienced arising from this new technology. A common theme in these a…
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems
Sruthi Viswanathan, Seray Ibrahim, Ravi Shankar +3
Parenting brings emotional and physical challenges, from balancing work, childcare, and finances to coping with exhaustion and limited personal time. Yet, one in three parents neve…
"Diversity is Having the Diversity": Unpacking and Designing for Diversity in Applicant Selection
Neil Natarajan, Sruthi Viswanathan, Reuben Binns +1
When selecting applicants for scholarships, universities, or jobs, practitioners often aim for a diverse cohort of qualified recipients. However, differing articulations, construct…
Trust Explanations to Do What They Say
Neil Natarajan, Reuben Binns, Jun Zhao +1
How much are we to trust a decision made by an AI algorithm? Trusting an algorithm without cause may lead to abuse, and mistrusting it may similarly lead to disuse. Trust in an AI…